Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C4: Econometric and Statistical Methods: Special Topics
/ / / C45: Neural Networks and Related Topics

2000

• Tamaki Tanaka, 2000, "Vector-Valued Minimax Theorems In Multicriteria Games," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 5, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• H. P. Benson & G. M. Boger, 2000, "Analysis Of An Outcome Space Formulation Of The Multiplicative Programming Problem," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 6, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Pekka Korhonen & Guang Yuan Yu, 2000, "Quadratic Pareto Race," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 7, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• G. Fandel, 2000, "Managerial Disposition Efficiency And Performance Efficiency In Large-Scale Production Projects," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 8, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Yacov Y. Haimes, 2000, "The Art And Science Of Risk Assessment And Management," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 9, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Milan Zeleny, 2000, "The Elimination Of Tradeoffs In Modern Business And Economics," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 10, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Duan Li, 2000, "Time-Varying Trade-Offs In Multiobjective Dynamic Programming," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 11, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• O. I. Larichev, 2000, "Qualitative Comparison Of Multicriteria Alternatives," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 12, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Hirotaka NAKAYAMA & Tetsuzo TANINO & Yeboon YUN, 2000, "Generalized Data Envelopment Analysis And Its Application," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 13, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Thierry Post & Jaap Spronk, 2000, "Evaluating Productive Performance Under Uncertainty: Combining Data Envelopment Analysis, Mean-Variance Analysis, And Multi-Factor Risk Models," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 14, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• C. I. Chiang & G. H. Tzeng, 2000, "A Multiple Objective Programming Approach To Data Envelopment Analysis," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 15, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Kyung Sam Park & Kwang-Jae Kim & Herbert Moskowitz, 2000, "Multi-Response Surface Optimization And Multi-Objective Optimization: Relationships And Directions," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 16, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Yong Shi & Xiaowo Tang, 2000, "A State-Of-The-Art Of Mc2 Linear Programming," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 17, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Antonie Stam & A. Pedro Duarte Silva, 2000, "Multiplicative Ratings For The Ahp," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 18, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• S. L. Liu & S. Y. Wang & K. K. Lai, 2000, "Multiple Criteria Decision Making Models For Competitive Bidding," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 19, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Chien-Hsiung Lin & Khalid J. Siddiqui & Yi-Hsin Liu, 2000, "Multiple Objective Linear Programming To Analyze And Classify Business Information," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 20, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Heeseok Lee & Jongwon Lee & Myung Ho Sohn & Yong Shi, 2000, "From Enterprise Network To Network Enterprise: Another Perspective Of Multiple Criteria Decision Making For Building Corporate Information System," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 21, in: Yong Shi & Milan Zeleny, "New Frontiers Of Decision Making For The Information Technology Era".
• Simon Cummings, 2000, "On the Use of Neural Networks for Analysing Travel Preference Data," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 1, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Rudy Setiono & James Y. L. Thong & Chee-Sing Yap, 2000, "Extracting Rules Concerning Market Segmentation from Artificial Neural Networks," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 2, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• A. Vellido & P. J. G. Lisboa & K. Meehan, 2000, "Characterising and Segmenting the Business-to-Consumer E-Commerce Market Using Neural Networks," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 3, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• A. H. Boussabaine & M. Wanous, 2000, "A Neurofuzzy Model for Predicting Business Bankruptcy," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 4, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Kimmo Kiviluoto & Pentti Bergius & Jyrki Maaranen, 2000, "Neural Networks for Analysis of Financial Statements," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 5, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Mark Somers & Greg Piper, 2000, "Developments in Accurate Consumer Risk Assessment Technology," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 6, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Inderjit Sandhu, 2000, "Strategies for Exploiting Neural Networks in Retail Finance," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 7, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• John Shawe-Taylor & Keith Howker & Phil Gosset & Mark Hyland & Herman Verrelst & Yves Moreau & Christof Stoermann & Peter Burge, 2000, "Novel Techniques for Profiling and Fraud Detection in Mobile Telecommunications," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 8, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Khosrow Hassibi, 2000, "Detecting Payment Card Fraud with Neural Networks," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 9, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Bernard Chartier & Thomas Spillane, 2000, "Money Laundering Detection with a Neural-Network," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 10, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Bill Edisbury & Roger England & Stewart Hanson, 2000, "Utilising Fuzzy Logic and Neurofuzzy for Business Advantage," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 11, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".

1999

• Greg Tkacz & Sarah Hu, 1999, "Forecasting GDP Growth Using Artificial Neural Networks," Staff Working Papers, Bank of Canada, number 99-3, DOI: 10.34989/swp-1999-3.
• Benoit Perron, 2002, "Semi-Parametric Weak Instrument Regressions with an Application to the Risk-Return Trade-off," CIRANO Working Papers, CIRANO, number 2002s-88, Nov.
• Bolgot, S. & Terraza, M., 1999, "Prevision des prix a terme du cacao et modeles ARMA non-lineaires," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b02.
• Ghattas, B., 1999, "Previsions par arbres de classification," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b03.
• Ghattas, B., 1999, "Previsions des pics d'ozone par arbres de regression, simples et agreges par bootstrap," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b04.
• Ghattas, B., 1999, "Agregation d'arbres de classification," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b05.
• Lakhal, S. & Martel, A. & Poulin, D., 1999, "Vers un cadre theorique de l'entreprise reseau," Papers, Laval - Faculte des sciences de administration, number 1999-4.
• Oral, M. & Poulin, D. & Kettani, O., 1999, "Mondialisation, Competition, Reseautage et Decision Collective," Papers, Laval - Faculte des sciences de administration, number 1999-6.
• Cottrell, M. & Turova, T.S., 1999, "Use of an Hourglass Model in Neuronal Coding," Papiers d'Economie Mathématique et Applications, Université Panthéon-Sorbonne (Paris 1), number 1999-24.
• Robert Pereira, 1999, "Forecasting Ability but No Profitability: an Empirical Evaluation of Genetic Algorithm-Optimized Technical Trading Rules," Working Papers, School of Economics, La Trobe University, number 1999.06.
• PERRON, Benoît, 1999, "Semi-Parametric Weak Instrument Regressions with an Application to the Risk-Return Trade-off," Cahiers de recherche, Universite de Montreal, Departement de sciences economiques, number 9901.
• Pereira, Robert, 1999, "Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-optimised Technical Trading Rules," MPRA Paper, University Library of Munich, Germany, number 9055.
• André Monteiro D'Almeida Monteiro & Dionísio Dias Carneiro & Carlos Eduardo Pedreira, 1999, "The application of clustering analysis to international private indebtedness," Textos para discussão, Department of Economics PUC-Rio (Brazil), number 412, Dec.
• Manfred M. Fischer & Katerina Hlavácková-Schindler & Martin Reismann, 1999, "articles: A global search procedure for parameter estimation in neural spatial interaction modelling," Papers in Regional Science, Springer;Regional Science Association International, volume 78, issue 2, pages 119-134.
• Robert Pereira, 1999, "Forecasting Ability but No Profitability: an Empirical Evaluation of Genetic Algorithm-Optimized Technical Trading Rules," Working Papers, School of Economics, La Trobe University, number 1999.06.
• Gottschling, Andreas & Haefke, Christian & White, Halbert, 1999, "Closed form integration of artificial neural networks with some applications," Research Notes, Deutsche Bank Research, number 99-9.

1998

• Täppinen, Jan, 1998, "Interest Rate Forecasting with Neural Networks," Discussion Papers, VATT Institute for Economic Research, number 170.
• Bolgot, S. & Meyfredi, J.-C., 1998, "Reseaux de neurones, lissage de la fonction d'actualisation et prevision des OAT demembrees: une etude empirique," G.R.E.Q.A.M., Universite Aix-Marseille III, number 98b04.
• Ma, C.-t.A. & McGuirem T.G., 1998, "Network Incentives in Managed Health Care," Papers, Boston University - Department of Economics, number 94.
• Ching-to Albert Ma & Thomas G. McGuire, 1998, "Network Incentives in Managed Health Care," Papers, Boston University - Industry Studies Programme, number 0094, Oct.
• Andreou, Andreas S. & Zombanakis, George A. & Georgopoulos, E. F. & Likothanassis, S. D., 1998, "Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks," MPRA Paper, University Library of Munich, Germany, number 17764, Dec.
• Fischer, Manfred M. & Staufer, Petra, 1998, "Optimization in an Error Backpropagation Neural Network Environment with a Performance Test on a Pattern Classification Problem," MPRA Paper, University Library of Munich, Germany, number 77810.
• Thomas de Graaff & Raymond J.G.M. Florax & Peter Nijkamp & Aura Reggiani, 1998, "Diagnostic Tools for Nonlinearity in Spatial Models," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 98-072/3, Jul.

1997

• Barnett, William A. & Gallant, A. Ronald & Hinich, Melvin J. & Jungeilges, Jochen A. & Kaplan, Daniel T. & Jensen, Mark J., 1997, "A single-blind controlled competition among tests for nonlinearity and chaos," Journal of Econometrics, Elsevier, volume 82, issue 1, pages 157-192.
• Fourneau, J.-M. & Pekergin, N. & Verchere, D., 1997, "Reseaux generalises multiclasses avec synchronisations cycliques," Papiers d'Economie Mathématique et Applications, Université Panthéon-Sorbonne (Paris 1), number 97.77.
• Heinemann, Maik & Lange, Carsten, 1997, "Modellierung von Preiserwartungen durch neuronale Netze," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-203, Apr.
• Heinemann, Maik, 1997, "Convergence of Adaptive Learning and the Concept of Expectational Stability in Linear Rational Expectations Models with Multiple Equilibria," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-207, Sep.
• Jackwerth, Jens Carsten, 1997, "Artificial Stupidity: A Reply," MPRA Paper, University Library of Munich, Germany, number 11636.
• P. Korhonen & G.Y. Yu, 1997, "Quadratic Pareto Race," Working Papers, International Institute for Applied Systems Analysis, number ir97058, Sep.

1996

• Hill, R.J., 1996, "Measuring Inflation Using Spanning Trees," Papers, New South Wales - School of Economics, number 96/26.

1995

• Haefke, Christian & Helmenstein, Christian, 1995, "Forecasting Austrian IPOs: An Application of Linear and Neural Network Error-Correction Models," Economics Series, Institute for Advanced Studies, number 18, Dec.
• Haefke, Christian & Helmenstein, Christian, 1995, "Prediction Risk and the Forecasting of Stock Market Indexes," Economics Series, Institute for Advanced Studies, number 20, Dec.
• Haefke, Christian & Helmenstein, Christian, 1995, "Forecasting Stock Market Averages to Enhance Profitable Trading Strategies," Economics Series, Institute for Advanced Studies, number 21, Dec.
• Fischer, Manfred M. & Gopal, Sucharita & Staufer, Petra & Steinnocher, Klaus, 1995, "Evaluation of Neural Pattern Classifiers for a Remote Sensing Application," MPRA Paper, University Library of Munich, Germany, number 77811.
• Wojtek Kowalczyk & Rafal Weron, 1995, "Analysis of ROBECO data by neural networks," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/95/02.

1994

• Fischer, Manfred M. & Gopal, Sucharita, 1994, "Artificial Neural Networks. A New Approach to Modelling Interregional Telecommunication Flows," MPRA Paper, University Library of Munich, Germany, number 77822.

1993

• Douglas Holtz-Eakin & David Joulfaian & Harvey S. Rosen, 1993, "The Carnegie Conjecture: Some Empirical Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 108, issue 2, pages 413-435.

1992

• Douglas Holtz-Eakin & David Joulfaian & Harvey S. Rosen, 1992, "The Carnegie Conjecture: Some Empirical Evidence," NBER Working Papers, National Bureau of Economic Research, Inc, number 4118, Jul.
• Fischer, Manfred M., 1992, "Expert Systems and Artificial Neural Networks for Spatial Analysis and Modelling. Essential Components for Knowledge-Based Geographical Information Systems," MPRA Paper, University Library of Munich, Germany, number 77818.
• Douglas Holtz-Eakin & David Joulfaian & Harvey S. Rosen, 1992, "The Carnegie Conjecture: Some Empirical Evidence," Working Papers, Princeton University, Department of Economics, Industrial Relations Section., number 682, Mar.

0

• Gautier M. Krings & Jean-Franc{c}ois Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," Papers, arXiv.org, number 1309.4156, Sep.
• Martha López P., 2003, "Efficient Policy Rule for Inflation Targeting in Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 240, May, DOI: 10.32468/be.240.
• José Mauricio Salazar Sáenz, 2009, "Evaluación de pronóstico de una red neuronal sobre el PIB en Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 575, Oct, DOI: 10.32468/be.575.
• Camilo Serrano & Martin Hoesli, 2007, "Forecasting EREIT Returns," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 07-35, Oct.
• J.B. Satinover & D. Sornette, 2008, "Anomalous Returns in a Neural Network Equity-Ranking Predictor," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 08-15, Jul.
• Wanfeng YAN & Ryan WOODARD & Didier SORNETTE, 2010, "Diagnosis and Prediction of Market Rebounds in Financial Markets," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 10-15, Mar.
• PREMINGER, Arie & FRANCK, Raphael, 2007, "Forecasting exchange rates: a robust regression approach," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 1917, Jan, DOI: 10.1016/j.ijforecast.2006.04.009.
• HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007, "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 1922, Jan, DOI: 10.1016/j.jeconom.2006.06.009.
• Weidong Lin & Abderrahim Taamouti, 2023, "Machine Learning Based Portfolio Selection Under Systemic Risk," Working Papers, University of Liverpool, Department of Economics, number 202311.
• Fahmida E. Moula & Chi Guotai & Mohammad Zoynul Abedin, 2017, "Credit default prediction modeling: an application of support vector machine," Risk Management, Palgrave Macmillan, volume 19, issue 2, pages 158-187, May, DOI: 10.1057/s41283-017-0016-x.
• Franz Fuerst & Gianluca Marcato, , "Re-thinking Commercial Real Estate Market Segmentation," Real Estate & Planning Working Papers, Henley Business School, University of Reading, number rep-wp2010-12.
• Guido Fioretti, , "Recognizing Investment Opportunities at the Onset of Recoveries," Modeling, Computing, and Mastering Complexity 2003, Society for Computational Economics, number 07.
• Christian Haefke & Christian Helmenstein, , "Forecasting Stock Market Averages to Enhance Profitable Trading Strategies," Computing in Economics and Finance 1996, Society for Computational Economics, number _023.
• Yunus Emre Gür & Abdunnur Yıldız & Emre Ünal, 0, "Advanced AI Models for Future Forecasting of Budget Expenditures via Machine Learning and Deep Learning," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, volume 0, issue 0, pages 1-36.
• Patrick Leoni & Pietro Senesi, , "Existence and Global Attractivity of Stable Solutions in Neural Networks," IEW - Working Papers, Institute for Empirical Research in Economics - University of Zurich, number 198.

None

• Penalva Jose & Ryall Michael D, 2008, "Empirical Implications of Information Structure in Finite Extensive Form Games," The B.E. Journal of Theoretical Economics, De Gruyter, volume 8, issue 1, pages 1-49, January, DOI: 10.2202/1935-1704.1362.
• Copic Jernej & Jackson Matthew O. & Kirman Alan, 2009, "Identifying Community Structures from Network Data via Maximum Likelihood Methods," The B.E. Journal of Theoretical Economics, De Gruyter, volume 9, issue 1, pages 1-40, September, DOI: 10.2202/1935-1704.1523.
• Granger Clive W.J., 2008, "Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 12, issue 3, pages 1-11, September, DOI: 10.2202/1558-3708.1639.
• Kapetanios George, 2003, "Bootstrap Neural Network Cointegration Tests Against Nonlinear Alternative Hypotheses," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 7, issue 2, pages 1-16, July, DOI: 10.2202/1558-3708.1099.
• Jagric Timotej, 2003, "A Nonlinear Approach to Forecasting with Leading Economic Indicators," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 7, issue 2, pages 1-20, July, DOI: 10.2202/1558-3708.1135.
• Small Michael & Tse Chi K., 2003, "Determinism in Financial Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 7, issue 3, pages 1-31, October, DOI: 10.2202/1558-3708.1134.
• de Peretti Christian & Siani Carole, 2004, "Neural Tests for Conditional Heteroskedasticity in ARCH-M Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 8, issue 3, pages 1-24, September, DOI: 10.2202/1558-3708.1239.
• Paola L. Montero Ledezma & Joaquín Morales Belpiare, 2020, "Estado del arte de las prioridades para la juventud boliviana con mira a las metas de los ODS para el 2030," SDSN Bolivia, Universidad Privada Boliviana, number 08-20, Aug.